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System Design: Coffee Ordering System
Design a system for a coffee shop, extensible to a chain, that supports the full lifecycle of ordering drinks.
Core Use Cases
- Customer Interaction:
- Browse menu and place an order (for pickup or in-store).
- Customize items (e.g., size, milk type, add-ons) and specify quantity.
- View real-time updates on their order status.
- Order Management:
- System calculates the total price, including tax and applicable discounts.
- Process payments or mark orders for "pay-at-store."
- Barista Workflow:
- Baristas view a prioritized queue of incoming orders.
- Update order status through the following lifecycle:
PLACED → PAID (optional) → IN_PROGRESS → READY → COMPLETED/CANCELLED.
Constraints and Scale
- The system must initially support a single store and be designed for seamless extension to a large chain of many stores.
- The system should handle peak loads of thousands of orders per minute across all stores.
- Order status updates must be delivered to customers with near real-time responsiveness.
Expected Coverage
Candidates should detail:
- APIs or event-driven mechanisms for order placement and status updates.
- Data models for menu items, orders, and payments.
- High-level architectural components and major services.
- Strategies for ensuring consistency, idempotency, and robust failure handling (e.g., retries, handling duplicate submissions).
- A clear plan for scaling the system to accommodate multiple stores and increasing order volume.
AI interview prep
Core dilemma
Balancing the need for high availability and low latency for customer-facing operations (order placement, real-time status updates) with the eventual consistency requirements for financial transactions and inventory management, especially when scaling across a global chain of stores.
Mid-level signals3
Senior signals3
Red flags3
3 tradeoffs and 3 stress tests locked
Interview prep
Unlock the interviewer X-Ray rubric, tradeoff matrix, stress tests, clarifying questions, and key concepts.
System Design: Coffee Ordering System
Design a system for a coffee shop, extensible to a chain, that supports the full lifecycle of ordering drinks.
Core Use Cases
- Customer Interaction:
- Browse menu and place an order (for pickup or in-store).
- Customize items (e.g., size, milk type, add-ons) and specify quantity.
- View real-time updates on their order status.
- Order Management:
- System calculates the total price, including tax and applicable discounts.
- Process payments or mark orders for "pay-at-store."
- Barista Workflow:
- Baristas view a prioritized queue of incoming orders.
- Update order status through the following lifecycle:
PLACED → PAID (optional) → IN_PROGRESS → READY → COMPLETED/CANCELLED.
Constraints and Scale
- The system must initially support a single store and be designed for seamless extension to a large chain of many stores.
- The system should handle peak loads of thousands of orders per minute across all stores.
- Order status updates must be delivered to customers with near real-time responsiveness.
Expected Coverage
Candidates should detail:
- APIs or event-driven mechanisms for order placement and status updates.
- Data models for menu items, orders, and payments.
- High-level architectural components and major services.
- Strategies for ensuring consistency, idempotency, and robust failure handling (e.g., retries, handling duplicate submissions).
- A clear plan for scaling the system to accommodate multiple stores and increasing order volume.